Extreme high temperatures: areas where the number of days per year with maximum temperatures above 35ºC will increase by more than 15 days. The long-term change in annual max temperature is calculated over a 20 year time period, from 2041 to 2060 (mid term) and with RCP 2.6 low emissions scenario. Source: WCRP CORDEX - CMIP6/CORDEX (https://cordex.org/experiment-guidelines/cordex-cmip6/)

The tropical cyclonic strong wind and storm surge model use information from 2594 historical tropical cyclones, topography, terrain roughness, and bathymetry. The historical tropical cyclones used in GAR15 cyclone wind and storm surge model are from five different oceanic basins: Northeast Pacific, Northwest Pacific, South Pacific, North Indian, South Indian and North Atlantic and the tracks were obtained from the IBTrACS database (Knapp et al. 2010). This database represents the repository of information associated with tropical cyclones that is the most up to date. Topography was taken from the Shuttle Radar Topography Mission (SRTM) of NASA, which provides terrain elevation grids at a 90 meters resolution, delivered by quadrants over the world. To account for surface roughness, polygons of urban areas worldwide were obtained from the Socioeconomic Data and Applications Centre, SEDAC (CIESIN et al., 2011). This was considered a good proxy of the spatial variation of surface roughness. A digital bathymetry model is employed with a spatial resolution of 30 arc-seconds, taken from the GEBCO_08 (General Bathymetric Chart of the Oceans) Grid Database of the British Oceanographic Data Centre (2009). Bathymetry is the information about the underwater floor of the ocean having direct influence on the formation of the storm surge. More information about the cyclone wind and strom surge hazard can be found in CIMNE et al., 2015a. Hazard analysis was performed using the software CAPRA Team Tropical Cyclones Hazard Modeler (Bernal, 2014). The vulnerability models used in the risk calculation for GAR correlate loss to the wind speed for 3-seconds gusts. For GAR15, the risk was calculated with the CAPRA-GIS platform which is risk modelling tool of the CAPRA suite (www.ecapra.org). The risk assessment was also conducted by CIMNE and Ingeniar to produced AAL and PML values for cyclone risk.

Ocean temperature: areas where the temperature of the sea at surface level is above 25ºC. The long-term change in annual ocean temperature is calculated over a 20 year time period, from 2041 to 2060 (mid term) and with RCP 2.6 low emissions scenario. Source: ????

This dataset assesses the current and future weather-related hazards that are likely to affect the agricultural systems (including crops, fisheries/aquaculture, livestock, and forestry) and the population in the project’s locations. Reference time period: Near term (2021-2040); Reference climate scenario=RCP8.5 (High emissions)

This dataset assesses the current and future weather-related hazards that are likely to affect the agricultural systems (including crops, fisheries/aquaculture, livestock, and forestry) and the population in the project’s locations. Reference time period: Medium term (2041-2060); Reference climate scenario=RCP2.6 (Low emissions)

Extreme low temperatures: areas where the number of days per year with minimum temperatures below 0ºC will increase by more than 1 day. The long-term change in annual low temperature is calculated over a 20 year time period, from 2021 to 2040 (near term), with RCP 8.5 high emission scenario. Source: WCRP CORDEX - CMIP6/CORDEX (https://cordex.org/experiment-guidelines/cordex-cmip6/).

This dataset assesses the current and future weather-related hazards that are likely to affect the agricultural systems (including crops, fisheries/aquaculture, livestock, and forestry) and the population in the project’s locations. Reference Time Period: Medium Term (2041-2060); Reference Climate scenario=RCP8.5 (High emissions)

Drought: areas where the Standardized Precipitation Index is below 0% Source: FAO-ASIS (https://www.fao.org/giews/earthobservation/asis/index_1.jsp?lang=en)

Drought: areas where the change in the Standardized Precipitation Index (SPI) is below -20%. The long-term change in annual drought is calculated over a 20 year time period, from 2041 to 2060 (mid term), with RCP 2.6 low emission scenario. Source: WCRP CORDEX - CMIP6/CORDEX (https://cordex.org/experiment-guidelines/cordex-cmip6/)

Drought: areas where the change in the Standardized Precipitation Index (SPI) is below -20%. The long-term change in annual drought is calculated over a 20 year time period, from 2021 to 2040 (near term), with RCP 8.5 high emission scenario. Source: WCRP CORDEX - CMIP6/CORDEX (https://cordex.org/experiment-guidelines/cordex-cmip6/)